In logistic transport industry, individual demands and diversity requirements are matters in transport operation; this paper focused on solving vehicle routing problem (VRP) by using the immune genetic algorithm (IGA). In this algorithm, firstly, establish the mathematical model of VRP. Secondly, design the IGA of which use natural number coding method to encode antibodies; apply R continuous method to calculate the affinity between antibodies; use the roulette wheel selection method to select good individuals; adopt partial matching method to improve the crossover operation; use simple inversion mutation method for mutation operation. Finally, example analysis proves that using the IGA can find out the optimal path quickly and efficiently.
Bo, Xuebing and Li, Hui, "Solving Vehicle Routing Problem in the Logistics Distribution Based on Immune Genetic Algorithm" (2016). WHICEB 2016 Proceedings. 23.